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Huan Wang 0015
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Publications
- 2024
- [j26]Yan-Fu Li, Huan Wang, Muxia Sun:
ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps. Reliab. Eng. Syst. Saf. 243: 109850 (2024) - [j24]Huan Wang, Muxia Sun, Yan-Fu Li:
A Brain-Inspired Spiking Network Framework Based on Multi-Time-Step Self-Attention for Lithium-Ion Batteries Capacity Prediction. IEEE Trans. Consumer Electron. 70(1): 3008-3017 (2024) - [j23]Xiaoyu Luo, Huan Wang, Te Han, Ying Zhang:
FFT-Trans: Enhancing Robustness in Mechanical Fault Diagnosis With Fourier Transform-Based Transformer Under Noisy Conditions. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j22]Huan Wang, Xindan Wang, Yizhuo Yang, Konstantinos C. Gryllias, Zhiliang Liu:
A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - 2023
- [j19]Huan Wang, Yan-Fu Li:
Bioinspired membrane learnable spiking neural network for autonomous vehicle sensors fault diagnosis under open environments. Reliab. Eng. Syst. Saf. 233: 109102 (2023) - [j16]Shicheng Pei, Huan Wang, Te Han:
Time-Efficient Neural Architecture Search for Autonomous Underwater Vehicle Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j15]Huan Wang, Yan-Fu Li:
Robust Mechanical Fault Diagnosis With Noisy Label Based on Multistage True Label Distribution Learning. IEEE Trans. Reliab. 72(3): 975-988 (2023) - [i2]Yan-Fu Li, Huan Wang, Muxia Sun:
ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps. CoRR abs/2305.06472 (2023) - 2022
- [j14]Huan Wang, Zhiliang Liu, Yipei Ge, Dandan Peng:
Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data. Knowl. Based Syst. 239: 107978 (2022) - [j13]Huan Wang, Yan-Fu Li:
Iterative Error Self-Correction for Robust Fault Diagnosis of Mechanical Equipment With Noisy Label. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j12]Huan Wang, Tianli Men, Yan-Fu Li:
Transformer for High-Speed Train Wheel Wear Prediction With Multiplex Local-Global Temporal Fusion. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j10]Huan Wang, Zhiliang Liu, Dandan Peng, Mei Yang, Yong Qin:
Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4757-4769 (2022) - 2021
- [j5]Zhiliang Liu, Huan Wang, Junjie Liu, Yong Qin, Dandan Peng:
Multitask Learning Based on Lightweight 1DCNN for Fault Diagnosis of Wheelset Bearings. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c10]Yipei Ge, Huan Wang, Zhiliang Liu:
Adversarial attack for deep-learning-based fault diagnosis models. QRS Companion 2021: 757-761 - [c9]Huan Wang, Tianli Men, Yan-Fu Li:
Transformer for High-Speed Train Wheel Wear Prediction with Multiplex Local-Global Temporal Fusion. QRS Companion 2021: 1175-1176 - 2020
- [j3]Dandan Peng, Huan Wang, Zhiliang Liu, Wei Zhang, Ming Jian Zuo, Jian Chen:
Multibranch and Multiscale CNN for Fault Diagnosis of Wheelset Bearings Under Strong Noise and Variable Load Condition. IEEE Trans. Ind. Informatics 16(7): 4949-4960 (2020) - [j2]Huan Wang, Zhiliang Liu, Dandan Peng, Yong Qin:
Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis. IEEE Trans. Ind. Informatics 16(9): 5735-5745 (2020) - 2019
- [j1]Dandan Peng, Zhiliang Liu, Huan Wang, Yong Qin, Limin Jia:
A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains. IEEE Access 7: 10278-10293 (2019)
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